10 citations · 17 across the 4 of their papers we have counts for
4 papers
Robustly overfitting latents for flexible neural image compression
Yura Perugachi-Diaz, Arwin Gansekoele, Sandjai Bhulai
Neural image compression has made a great deal of progress. State-of-the-art models are based on variational autoencoders and are outperforming classical models. Neural compression…
Region-of-Interest Based Neural Video Compression
Yura Perugachi-Diaz, Guillaume Sautière, Davide Abati +3
Humans do not perceive all parts of a scene with the same resolution, but rather focus on few regions of interest (ROIs). Traditional Object-Based codecs take advantage of this bio…
Invertible DenseNets with Concatenated LipSwish
Yura Perugachi-Diaz, Jakub M. Tomczak, Sandjai Bhulai
We introduce Invertible Dense Networks (i-DenseNets), a more parameter efficient extension of Residual Flows. The method relies on an analysis of the Lipschitz continuity of the co…
Invertible DenseNets
Yura Perugachi-Diaz, Jakub M. Tomczak, Sandjai Bhulai
We introduce Invertible Dense Networks (i-DenseNets), a more parameter efficient alternative to Residual Flows. The method relies on an analysis of the Lipschitz continuity of the…